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The activations of Facial Action Units (AUs) mutually influence one another.
Facial action coding system: a technique for the measurement of facial movement
E Friesen and Paul Ekman · 1978
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Disfa: A spontaneous facial action intensity database
S Mohammad Mavadati, Mohammad H Mahoor, Kevin Bartlett, Philip Trinh, and Jeffrey F Cohn · 2013
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Bp4d-spontaneous: a high-resolution spontaneous 3d dynamic facial expression database
Xing Zhang, Lijun Yin, Jeffrey F Cohn, Shaun Canavan, Michael Reale, Andy Horowitz, Peng Liu, and Jeffrey M Girard · 2014
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Multi-conditional latent variable model for joint facial action unit detection
Stefanos Eleftheriadis, Ognjen Rudovic, and Maja Pantic · 2015
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Deep region and multi-label learning for facial action unit detection
Kaili Zhao, Wen-Sheng Chu, and Honggang Zhang · 2016
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Xavier Bresson and Thomas Laurent · 2017
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Automatic analysis of facial actions: A survey
Brais Martinez, Michel F Valstar, Bihan Jiang, and Maja Pantic · 2017
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Multi-task convolutional neural network for pose-invariant face recognition
Xi Yin and Xiaoming Liu · 2017
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Deep structure inference network for facial action unit recognition
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Deep adaptive attention for joint facial action unit detection and face alignment
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Self-supervised representation learning from videos for facial action unit detection
Aula-caps: Lifecycle-aware capsule networks for spatio-temporal analysis of facial actions
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Facial action unit detection with transformers
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Asymmetric loss for multi-label classification
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Jaa-net: joint facial action unit detection and face alignment via adaptive attention
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Personality recognition by modelling person-specific cognitive processes using graph representation
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Yong Li, Jiabei Zeng, Shiguang Shan, and Xilin Chen · 2019
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Local relationship learning with person-specific shape regularization for facial action unit detection
Xuesong Niu, Hu Han, Songfan Yang, Yan Huang, and Shiguang Shan · 2019
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Facial action unit detection using attention and relation learning
Zhiwen Shao, Zhilei Liu, Jianfei Cai, Yunsheng Wu, and Lizhuang Ma · 2019
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Relation modeling with graph convolutional networks for facial action unit detection
Zhilei Liu, Jiahui Dong, Cuicui Zhang, Longbiao Wang, and Jianwu Dang · 2020
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Siyang Song, Zilong Shao, Shashank Jaiswal, Linlin Shen, Michel Valstar, and Hatice Gunes · 2021
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Uncertain graph neural networks for facial action unit detection
Tengfei Song, Lisha Chen, Wenming Zheng, and Qiang Ji · 2021
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Hybrid message passing with performance-driven structures for facial action unit detection
Tengfei Song, Zijun Cui, Wenming Zheng, and Qiang Ji · 2021
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Exploiting semantic embedding and visual feature for facial action unit detection
Huiyuan Yang, Lijun Yin, Yi Zhou, and Jiuxiang Gu · 2021
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